At a Glance
- Tasks: Lead analytics engineering, manage teams, and deliver trusted data foundations for decision-making.
- Company: A leading analytics firm with a focus on innovation and collaboration.
- Benefits: Hybrid working environment, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in analytics while leading a talented team in a dynamic industry.
- Qualifications: 6+ years in analytics/data engineering, strong SQL and Python skills, digital advertising knowledge.
- Other info: Join a forward-thinking company in Greater London with a vibrant work culture.
The predicted salary is between 48000 - 72000 £ per year.
A leading analytics firm is seeking an Analytics Engineering Manager to lead the analytics engineering function. This role involves technical leadership, people management, and delivery of a trusted data foundation to support decision-making.
Candidates should have over 6 years of experience in analytics/data engineering, with strong skills in SQL and Python. Knowledge of digital advertising is essential.
The position offers a hybrid working environment in Greater London.
Analytics Engineering Lead — Data Foundations (Remote) in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineering Lead — Data Foundations (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics and data engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering questions. Practice explaining your past projects and how they relate to digital advertising to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you, so keep an eye out and get your application in.
We think you need these skills to ace Analytics Engineering Lead — Data Foundations (Remote) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 6+ years of experience in analytics and data engineering. We want to see how your skills in SQL and Python have made a difference in your previous roles, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention your knowledge of digital advertising and how it relates to the position. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff – we want to know what makes you the perfect fit!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As an Analytics Engineering Lead, you'll need to demonstrate your people management abilities. Prepare examples of how you've led teams, mentored colleagues, or managed projects. Highlight your approach to fostering collaboration and driving results.
✨Understand the Business Context
Familiarise yourself with the digital advertising landscape and how analytics plays a role in decision-making. Be prepared to discuss how your technical expertise can support business objectives and improve data-driven strategies.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's analytics strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.